9 citations · 9 across the 11 of their papers we have counts for
12 papers
Near-Optimal Convex Optimization with Lazy Second-Order Oracles
Xinliang Zhang, Lesi Chen, Chengchang Liu +1
This paper studies the complexity of convex optimization using lazy second-order oracles (Doikov, Chayti, and Jaggi, ICML 2023), where an algorithm queries gradients every iteratio…
Optimal High-Order Methods for Solving Monotone Variational Inequalities
Xinliang Zhang, Lesi Chen, Linxuan Pan +3
We study second- and higher-order methods for solving smooth monotone variational inequalities (MVI). Monteiro and Svaiter (SIAM J. Optim., 2012) showed that a second-order method,…
Halpern Iteration Achieves th-Order Oracle Complexity for Monotone Variational Inequalities
Lesi Chen, Xinliang Zhang, Hengyu Wang +3
We study second- and higher-order methods for solving smooth monotone variational inequalities (MVI). Monteiro and Svaiter (SIAM J. Optim., 2012) showed that a second-order method,…
Solving Convex-Concave Problems with th-Order Oracle Complexity
Lesi Chen, Xinliang Zhang, Chengchang Liu +3
When the objective has Lipschitz continuous th-order derivatives, it is known that convex-concave minimax problems can be solved with th-order ora…
Interference-Aware Super-Constellation Design for NOMA
Mojtaba Vaezi, Xinliang Zhang
Non-orthogonal multiple access (NOMA) has gained significant attention as a potential next-generation multiple access technique. However, its implementation with finite-alphabet in…
Deep Autoencoder-based Z-Interference Channels with Perfect and Imperfect CSI
Xinliang Zhang, Mojtaba Vaezi
A deep autoencoder (DAE)-based structure for endto-end communication over the two-user Z-interference channel (ZIC) with finite-alphabet inputs is designed in this paper. The propo…
Interference-Aware Constellation Design for Z-Interference Channels with Imperfect CSI
Xinliang Zhang, Mojtaba Vaezi, Lizhong Zheng
A deep autoencoder (DAE)-based end-to-end communication over the two-user Z-interference channel (ZIC) with finite-alphabet inputs is designed in this paper. The design is for impe…
Complex Rotation-based Linear Precoding for Physical Layer Multicasting and SWIPT
Xinliang Zhang, Mojtaba Vaezi
With the goal of improving spectral efficiency, complex rotation-based precoding and power allocation schemes are developed for two multiple-input multiple-output (MIMO) communicat…
SVD-Embedded Deep Autoencoder for MIMO Communications
Xinliang Zhang, Mojtaba Vaezi, Timothy J. O'Shea
Using a deep autoencoder (DAE) for end-to-end communication in multiple-input multiple-output (MIMO) systems is a novel concept with significant potential. DAE-aided MIMO has been…
Multi-Objective DNN-based Precoder for MIMO Communications
Xinliang Zhang, Mojtaba Vaezi
This paper introduces a unified deep neural network (DNN)-based precoder for two-user multiple-input multiple-output (MIMO) networks with five objectives: data transmission, energy…
Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel
Xinliang Zhang, Mojtaba Vaezi
A novel precoding method based on supervised deep neural networks is introduced for the multiple-input multiple-output Gaussian wiretap channel. The proposed deep learning (DL)-bas…
A Rotation-based Method for Precoding in Gaussian MIMOME Channels
Xinliang Zhang, Yue Qi, Mojtaba Vaezi
The problem of maximizing secrecy rate of multiple-input multiple-output multiple-eavesdropper (MIMOME) channels with arbitrary numbers of antennas at each node is studied in this…